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Kappaemme-git / codex-complexity-optimizer

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Codex skill for safe codebase complexity analysis and performance optimization reports

269
9
89% credibility
Found May 17, 2026 at 269 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Codex Complexity Optimizer is a tool that helps you find and fix performance problems in your code. It works as an add-on for an AI coding assistant, scanning through your files to spot common efficiency issues like nested loops, repeated searches, or database queries inside loops. After scanning, it produces a clear report showing exactly where problems exist, how serious they are, and what changes could help. You can then choose to make those changes yourself or ask the assistant to apply the safest ones automatically while running your tests to make sure nothing breaks.

How It Works

1
🔍 You discover a tool that finds slow code

You hear about a tool that can scan your codebase and point out where your programs might be running slowly.

2
📦 You install it with one click

You run a simple install command, and the tool automatically adds itself to your AI coding assistant.

3
✨ You ask your assistant to analyze your project

You simply tell your AI coding assistant to check your codebase, and it springs into action.

4
🔎 The tool reads through your code

It carefully examines your files, looking for patterns that commonly cause performance problems like loops inside loops or repeated lookups.

5
📋 You receive a clear report

The tool shows you exactly where the slow spots are, how serious each one is, and what you could change to make it faster.

6
You decide what to do next
📚
Learn on your own

You study the report and make the changes yourself at your own pace.

🚀
Let the assistant help

You ask the assistant to apply the lowest-risk fix and run your tests.

🎉 Your code is cleaner and faster

You've identified and fixed the slow spots, and your program runs more efficiently than before.

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Star Growth

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AI-Generated Review

What is codex-complexity-optimizer?

This is a Codex skill that scans your codebase and spits out a report on algorithmic complexity hotspots and performance problems. You install it via npm, it drops into your Codex skills folder, and then you can ask Codex to analyze any project and get back actionable findings. The scanner detects nested loops, membership checks inside loops, sorting operations in hot paths, and potential N+1 database queries. It handles Python, JavaScript, TypeScript, Java, Go, Ruby, PHP, C#, C++, and Swift. Reports come as markdown or JSON and include severity levels, file/line locations, and specific suggestions for fixing each issue.

Why is it gaining traction?

Codex skills are still a new category, and this fills a real gap: most developers can't eyeball O(n^2) behavior hiding in their code. Instead of manually hunting for performance issues, you get a structured report in seconds. The "report-only by default" design is smart—it won't touch your files unless you explicitly ask it to. The suggestions are concrete enough to be useful without being generic.

Who should use this?

Backend developers dealing with slow endpoints and suspect queries will get the most value. Frontend devs working with large datasets in React components will find the render-path analysis useful. Anyone inheriting a codebase with "it works but it's slow" syndrome should try this first. If you're already using Codex for code review, this slots in as a dedicated performance auditor.

Verdict

A genuinely useful Codex skill with a clear purpose and sensible defaults. The 269 stars and 0.8999999761581421% credibility score suggest a small but real user base. Documentation is minimal and test coverage is unclear, so treat it as a helpful assistant rather than a replacement for profiling tools. Worth installing if you're already in the Codex ecosystem.

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